Interface fuzzy method and device, electronic equipment and computer readable storage medium

By fuzzing the target interface multiple times and displaying interfaces of different degree of blur, the problem of dynamic blur in traditional technology increases system power consumption, achieving more efficient system performance and fluency.

CN119440221APending Publication Date: 2025-02-14GUANGDONG OPPO MOBILE TELECOMMUNICATIONS CORP LTD
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Patent Information

Application Number
CN202411404273.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-09
Publication Date
2025-02-14

AI Technical Summary

Technical Problem

When traditional technology achieves dynamic fuzzy effects, it will increase the system power consumption and load, affecting system performance.

Method used

By performing multiple blurring of the target interface, including downsampling, blurring and upsampling, multiple initial blurring interfaces are obtained and displayed according to their blurring degree to reduce the consumption of computing resources and buffer resources.

Benefits of technology

While maintaining dynamic blur effect, reduce system power consumption and improve system performance and fluency.

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Abstract

The invention relates to an interface fuzzy method and device, electronic equipment and a computer readable storage medium. The method comprises the steps that after an instruction for displaying a target interface is received, multiple times of fuzzification processing is conducted on the target interface, and multiple initial fuzzy interfaces are obtained based on the multiple times of fuzzification processing; wherein the ith fuzzification processing comprises the steps of performing down-sampling processing on the target interface to obtain a down-sampling interface, performing fuzzification processing on the down-sampling interface based on a target fuzzy radius to obtain a candidate interface, and performing up-sampling processing on the candidate interface to obtain an initial fuzzy interface corresponding to the ith fuzzification processing; obtaining a plurality of target fuzzy interfaces according to the plurality of initial fuzzy interfaces; the blurring degrees of the multiple target blurring interfaces are different; and sequentially displaying the plurality of target fuzzy interfaces according to the fuzzy degrees. By adopting the method, the power consumption load can be reduced while the dynamic fuzzy effect is kept, and the performance of the system is ensured.
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Description

Technical Field

[0001] The present application relates to the field of human-computer interaction technology, and in particular to an interface blurring method, device, electronic device and computer-readable storage medium. Background Art

[0002] Blur effects are increasingly used in the user interface (UI) and application (APP) of terminal devices. Common blur application scenarios are divided into static blur and dynamic blur. Dynamic blur dynamically updates the blur radius of the background or image within the target blur duration according to the required blur in and out animation effect.

[0003] In traditional technology, in order to achieve a better dynamic blur effect, a larger blur radius, blur radius update frequency, and blur duration are used. The implementation process by the Central Processing Unit (CPU) and the Graphics Processing Unit (GPU) will bring a large power consumption load to the system and affect the performance of the system. Summary of the invention

[0004] The embodiments of the present application provide an interface blur method, device, electronic device and computer-readable storage medium, which can reduce power consumption load while maintaining a dynamic blur effect and ensure system performance.

[0005] In a first aspect, an embodiment of the present application provides an interface blurring method, comprising:

[0006] After receiving an instruction to display a target interface, the target interface is subjected to multiple fuzzification processes, and multiple initial fuzzy interfaces are obtained based on the multiple fuzzification processes; wherein the i-th fuzzification process includes: downsampling the target interface to obtain a downsampled interface, fuzzifying the downsampled interface based on a target fuzzy radius to obtain a candidate interface, and upsampling the candidate interface to obtain an initial fuzzy interface corresponding to the i-th fuzzification process;

[0007] Acquire multiple target fuzzy interfaces according to the multiple initial fuzzy interfaces; the fuzziness levels of the multiple target fuzzy interfaces are different;

[0008] The multiple target blur interfaces are displayed in sequence according to the blur levels.

[0009] In a second aspect, an embodiment of the present application provides an interface blurring device, comprising:

[0010] A fuzzy module, configured to perform multiple fuzzy processes on the target interface after receiving an instruction to display the target interface, and obtain multiple initial fuzzy interfaces based on the multiple fuzzy processes; wherein the i-th fuzzy process comprises: performing downsampling process on the target interface to obtain a downsampled interface, performing fuzzy process on the downsampled interface based on a target fuzzy radius to obtain a candidate interface, and performing upsampling process on the candidate interface to obtain an initial fuzzy interface corresponding to the i-th fuzzy process;

[0011] A first acquisition module is used to acquire a plurality of target fuzzy interfaces according to the plurality of initial fuzzy interfaces; the fuzziness degrees of the plurality of target fuzzy interfaces are different;

[0012] The display module is used to display the multiple target blur interfaces in sequence according to the blur degree.

[0013] In a third aspect, an embodiment of the present application provides an electronic device, comprising a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the interface blurring method described in the first aspect.

[0014] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the interface blurring method described in the first aspect are implemented.

[0015] In a fifth aspect, an embodiment of the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of the interface blurring method as described in the first aspect.

[0016] The above-mentioned interface blurring method, device, electronic device and computer-readable storage medium, after receiving the instruction to display the target interface, performs multiple blurring processes on the target interface, each time downsampling the target interface to obtain a downsampled interface, blurring the downsampled interface based on the target blurring radius to obtain a candidate interface, and upsampling the candidate interface to obtain an initial blurring interface corresponding to each blurring process. Since the target interface is first downsampled during each blurring process of the target interface, the computing resources and buffer resources required for blurring the downsampled interface based on the target blurring radius can be reduced, the power consumption of the system can be reduced, the performance of the system can be guaranteed, and the fluency of the system can be improved. At the same time, the downsampled interface is processed in each blurring process. When the interface is blurred, the downsampled interface is blurred based on the target blur radius, and the blur radius is not randomly selected. In this way, the blur effect of the candidate interface can be ensured when the downsampled interface is blurred based on the target blur radius. After the candidate interface is upsampled, the blur effect of the initial blurred interface obtained each time can be ensured, and the performance of the system can be guaranteed while ensuring the blur effect. Furthermore, based on the multiple initial blurred interfaces obtained, multiple target blurred interfaces with different blur degrees can be obtained, and the multiple target blurred interfaces can be displayed in sequence according to the blur degree. In this way, the blur effect of the displayed multiple target blurred interfaces can be ensured while further reducing the power consumption of the system and ensuring the performance of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] FIG1 is a flow chart of an interface blurring method according to an embodiment;

[0019] FIG2 is a flow chart of an interface blurring method according to another embodiment;

[0020] FIG3 is a schematic diagram of a process of gradually downsampling a target interface in one embodiment;

[0021] FIG4 is a flow chart of an interface blurring method according to another embodiment;

[0022] FIG5 is a schematic diagram showing a process comparison between an interface blurring method of the present application and an interface blurring method in a conventional technology provided by an embodiment;

[0023] FIG6 is a block diagram of an interface blurring device according to an embodiment;

[0024] FIG7 is a structural block diagram of an interface blurring device in another embodiment;

[0025] FIG8 is a structural block diagram of an interface blurring device in another embodiment;

[0026] FIG9 is a structural block diagram of an interface blurring device in another embodiment;

[0027] FIG10 is a structural block diagram of an interface blurring device in another embodiment;

[0028] FIG11 is a structural block diagram of an interface blurring device in another embodiment;

[0029] FIG. 12 is a schematic diagram of the internal structure of an electronic device in one embodiment. DETAILED DESCRIPTION

[0030] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0031] In one embodiment, as shown in FIG1 , an interface blurring method is provided. This embodiment uses the method applied to an electronic device as an example for illustration. It is understandable that the method can also be applied to a server, and can also be applied to a system including an electronic device and a server, and is implemented through the interaction between the electronic device and the server. In this embodiment, the method includes the following steps:

[0032] S201, after receiving an instruction to display a target interface, the target interface is fuzzified multiple times, and multiple initial fuzzy interfaces are obtained based on the multiple fuzzy processes; wherein the i-th fuzzy process includes: downsampling the target interface to obtain a downsampled interface, fuzzying the downsampled interface based on a target fuzzy radius to obtain a candidate interface, and upsampling the candidate interface to obtain an initial fuzzy interface corresponding to the i-th fuzzy process.

[0033] The target interface is any one of the control center interface, user interface, and application program interface of the electronic device, and the display instruction of the target interface can be used to indicate that the target interface needs to be displayed after being fuzzy processed, and the fuzzy interface of the target interface is displayed. Exemplarily, the display instruction of the target interface can be triggered by a user through a gesture, or by a user through voice, or by a user through biometric information. This embodiment does not limit the triggering method of the display instruction of the target interface.

[0034] In this embodiment, the processing principle of each fuzzification process performed on the target interface in multiple fuzzification processes is similar, but the sampling rate and blur radius of the downsampling process of the target interface during each fuzzification process may be different. Taking the i-th fuzzification process as an example, each fuzzification process performed on the target interface may include: first downsampling the target interface according to a preset sampling rate to obtain a downsampled interface, blurring the downsampled interface based on the target blur radius corresponding to this fuzzification process to obtain a candidate interface, and then upsampling the candidate interface according to this sampling rate, restoring the candidate interface to the same size as the target interface, and obtaining the initial blurred interface corresponding to this fuzzification process. Optionally, in this embodiment, when the electronic device performs fuzzy processing on the downsampled interface, Gaussian blur can be used to blur the downsampled interface.

[0035] Optionally, in this embodiment, the target blur radius corresponding to the i-th blur processing may be a blur radius obtained by reducing the original blur radius corresponding to the i-th blur processing.

[0036] Optionally, in this embodiment, when downsampling the target interface, a lightweight sampling algorithm can be used. For example, multiple bilinear interpolations can be used to downsample the target interface. For example, the target interface can be scaled by 1 / 16 by 4 times of a 1 / 2 sampling rate.

[0037] S202, obtaining a plurality of target fuzzy interfaces according to the plurality of initial fuzzy interfaces; the fuzziness levels of the plurality of target fuzzy interfaces are different.

[0038] Optionally, in this embodiment, multiple target fuzzy interfaces with different blurring degrees can be obtained by performing image fusion on any two of the multiple initial fuzzy interfaces. Exemplarily, taking the multiple initial fuzzy interfaces as four initial fuzzy interfaces A, B, C, and D as an example, as an optional implementation, the initial fuzzy interface A and the initial fuzzy interface B can be interface-fused to obtain a fuzzy interface E, the initial fuzzy interface B and the initial fuzzy interface C can be interface-fused to obtain a fuzzy interface F, the initial fuzzy interface C and the initial fuzzy interface D can be interface-fused to obtain a fuzzy interface G, and the initial fuzzy interface A, the initial fuzzy interface B, the initial fuzzy interface C, the initial fuzzy interface D and the fuzzy interface E, the fuzzy interface F, and the fuzzy interface G are used as multiple target fuzzy interfaces; or, as another optional implementation, the initial fuzzy interface A and the initial fuzzy interface C can be interface-fused to obtain a fuzzy interface H, the initial fuzzy interface B and the initial fuzzy interface D can be interface-fused to obtain a fuzzy interface I, and then the initial fuzzy interface A, the initial fuzzy interface B, the initial fuzzy interface C, the initial fuzzy interface D and the fuzzy interface H, and the fuzzy interface I are used as multiple target fuzzy interfaces.

[0039] S203, displaying a plurality of target blur interfaces in order according to the blur levels.

[0040] In this embodiment, after obtaining multiple target fuzzy interfaces, the multiple target fuzzy interfaces can be sorted according to their fuzziness levels, and then displayed in sequence according to their fuzziness levels.

[0041] Exemplarily, taking the multiple target fuzzy interfaces as the above-mentioned initial fuzzy interface A, initial fuzzy interface B, initial fuzzy interface C, initial fuzzy interface D and fuzzy interface E, fuzzy interface F, and fuzzy interface G as examples, if the fuzziness of the initial fuzzy interface A, initial fuzzy interface B, initial fuzzy interface C, and initial fuzzy interface D increases in sequence, then based on the acquisition process of the multiple target fuzzy interfaces, it can be determined that the multiple target fuzzy interfaces can be in the order of fuzziness from small to large in terms of fuzziness: initial fuzzy interface A, fuzzy interface E, initial fuzzy interface B, fuzzy interface F, initial fuzzy interface C, fuzzy interface G, and initial fuzzy interface. Further, the electronic device can display the multiple target fuzzy interfaces in sequence according to the determined fuzziness of the multiple target fuzzy interfaces.

[0042] Optionally, in the present embodiment, the instruction for displaying the target interface triggered by the user may include the display duration for displaying the target interface. The electronic device may determine the display interval for displaying the multiple target blurred interfaces based on the display duration and the number of the multiple target blurred interfaces, and then display the multiple target blurred interfaces in sequence according to the degree of blurriness of the multiple target blurred interfaces and the determined display interval.

[0043] In the above interface blurring method, after receiving the instruction to display the target interface, the target interface is blurred for multiple times, each time the target interface is downsampled to obtain a downsampled interface, the downsampled interface is blurred based on the target blur radius to obtain a candidate interface, the candidate interface is upsampled to obtain an initial blurred interface corresponding to each blurring process, because the target interface is downsampled first in each blurring process of the target interface, this can reduce the computing resources and buffer resources required for blurring the downsampled interface based on the target blur radius, reduce the power consumption of the system, ensure the performance of the system, and improve the fluency of the system, and at the same time, the downsampled interface is blurred in each blurring process When blurring the downsampled interface, the blurring is performed based on the target blur radius, rather than a randomly selected blur radius. This ensures the blurring effect of the candidate interface when blurring the downsampled interface based on the target blur radius. After upsampling the candidate interface, the blurring effect of the initial blur interface obtained each time can be ensured, thereby ensuring the blurring effect and the performance of the system. Furthermore, based on the multiple initial blur interfaces obtained, multiple target blur interfaces with different blurring degrees can be obtained, and the multiple target blur interfaces can be displayed in sequence according to the blurring degrees. This ensures the blurring effect of the multiple target blur interfaces displayed while further reducing the power consumption of the system and ensuring the performance of the system.

[0044] In the above scenario of blurring the downsampled interface based on the target blur radius, it is necessary to first determine the target blur radius. In this embodiment, the process of determining the target blur radius is explained. In one embodiment, before the “blurring the downsampled interface based on the target blur radius” in S201, the method further includes:

[0045] Step A: Determine the target blur radius based on the order i of the blurring process; wherein the target blur radius is positively correlated or negatively correlated with the order i.

[0046] In this embodiment, during the i-th fuzzification process, the target fuzzy radius of the i-th fuzzification process can be determined based on the principle that the target fuzzy radius of the i-th fuzzification process is positively correlated or negatively correlated with the order i of the i-th fuzzification process. It can be understood that if the target fuzzy radius is positively correlated with the order i of the fuzzification process, the larger the order i of the fuzzification process is, the larger the target fuzzy radius of the i-th fuzzification process is; if the target fuzzy radius is negatively correlated with the order i of the fuzzification process, the larger the order i of the fuzzification process is, the smaller the target fuzzy radius of the i-th fuzzification process is.

[0047] Further, as an optional implementation, the target blur radius of the ith blurring process can be obtained according to the overall sampling rate of the ith downsampling process and the original blur radius of the ith blurring process, wherein the difference between the blur effect of blurring the target interface based on the original blur radius of the ith blurring process and the blur effect of blurring the downsampling interface obtained by the ith blurring process based on the target blur radius of the ith blurring process is less than a preset effect difference threshold, that is, the downsampling interface obtained by the ith blurring process can be blurred based on the target blur radius of the ith blurring process to simulate the blur effect of blurring the target interface based on the original blur radius of the ith blurring process. For example, when the target interface is downsampled by 16 times, the blur radius 7 can approximately simulate the blur effect of the blur radius 140 corresponding to the original size.

[0048] In the present embodiment, since the blur processing of the target interface is performed based on the target interface after the downsampling processing, the target blur radius during the blur processing is determined based on the order i of the blur processing. In this way, the target blur radius can change with the order of the blur processing. Compared with the traditional dynamic blur process in which the blur radius is stepped according to a preset step size to perform dynamic blur, this method can reduce the number of frames of dynamic blur processing, thereby reducing the power consumption of the system while ensuring the blur effect.

[0049] In this embodiment, the detailed process of performing downsampling processing on the target interface to obtain the downsampled interface is described. In one embodiment, as shown in FIG2 , the “performing downsampling processing on the target interface to obtain the downsampled interface” in the above S201 includes:

[0050] S301, obtaining multiple sub-sampling ratios.

[0051] In this embodiment, in order to further reduce the amount of calculation of the system, a lightweight downsampling method can be used to downsample the target interface when downsampling the target interface. As an optional implementation, the target interface can be downsampled by multiple bilinear interpolation methods. Therefore, when downsampling the target interface, it is necessary to first obtain multiple subsampling ratios. For example, when performing a 1 / 16 downsampling process, it can be achieved by 4 times of 1 / 2 downsampling processes, that is, when performing a 1 / 16 downsampling process, the multiple subsampling ratios obtained are 1 / 2.

[0052] S302, gradually downsampling the target interface according to a plurality of subsampling ratios to obtain a downsampled interface.

[0053] In this embodiment, after obtaining multiple subsampling ratios, the target interface can be gradually downsampled according to the obtained multiple subsampling ratios to obtain the above-mentioned downsampled interface. Continuing with the above-mentioned 4 times of 1 / 2 downsampling to achieve 1 / 16 downsampling processing as an example, the electronic device can gradually downsample the target interface 4 times according to the sampling ratio of 1 / 2 to obtain the above-mentioned downsampled interface.

[0054] Since the upsampling process corresponds to the downsampling process, the above-mentioned "upsampling the candidate interface to obtain the initial fuzzy interface corresponding to the i-th fuzzification process" includes: gradually upsampling the candidate interface according to the above-mentioned multiple subsampling ratios to obtain the initial fuzzy interface corresponding to the i-th fuzzification process.

[0055] For example, please refer to Figure 3, which exemplarily shows a schematic diagram of the process of gradually downsampling the target interface with a subsampling ratio of 1 / 2 to obtain a downsampled interface, blurring the downsampled interface based on the target blur radius to obtain a candidate interface, upsampling the candidate interface to obtain an initial blurred interface corresponding to the i-th blurring process.

[0056] In this embodiment, by obtaining multiple sub-sampling ratios and gradually downsampling the target interface according to the multiple sub-sampling ratios, the required computing resources and linear buffer resources can be reduced, and the power consumption of the system can be reduced while ensuring the blur effect of the initial blurred interface, thereby ensuring the performance of the system.

[0057] In the above scenario of obtaining multiple target fuzzy interfaces based on multiple initial fuzzy interfaces, an initial fuzzy interface can be selected from the multiple initial fuzzy interfaces for mixing to obtain multiple target fuzzy interfaces. In one embodiment, as shown in FIG4 , the above S203 includes:

[0058] S401, performing a mixing process on an initial fuzzy interface corresponding to the i-th fuzzification process and an initial fuzzy interface corresponding to the i+n-th fuzzification process to obtain a mixed fuzzy interface; wherein n is a positive integer greater than or equal to 1.

[0059] The i+nth fuzzification process may be the i+1th fuzzification process or the i+2th fuzzification process, etc. In this embodiment, the initial fuzzy interface corresponding to the i-th fuzzification process and the initial fuzzy interface corresponding to the i+nth fuzzification process may be fused to achieve hybrid processing and obtain a hybrid fuzzy interface.

[0060] Exemplarily, in this embodiment, the initial fuzzy interface corresponding to the i-th fuzzification processing and the initial fuzzy interface corresponding to the i+1-th fuzzification processing can be mixed to obtain a mixed fuzzy interface; alternatively, the initial fuzzy interface corresponding to the i-th fuzzification processing and the initial fuzzy interface corresponding to the i+2-th fuzzification processing can be mixed to obtain a mixed fuzzy interface; alternatively, the initial fuzzy interface corresponding to the i-th fuzzification processing and the initial fuzzy interface corresponding to the i+3-th fuzzification processing can be mixed to obtain a mixed fuzzy interface.

[0061] It can be understood that in this embodiment, after obtaining the initial fuzzy interface corresponding to the i-th fuzzification processing and the initial fuzzy interface corresponding to the i+n-th fuzzification processing, the initial fuzzy interface corresponding to the i-th fuzzification processing and the initial fuzzy interface corresponding to the i+n-th fuzzification processing can be written back to the memory stick. While the initial fuzzy interface corresponding to the i-th fuzzification processing and the initial fuzzy interface corresponding to the i+n-th fuzzification processing are displayed, the initial fuzzy interface corresponding to the i-th fuzzification processing and the initial fuzzy interface corresponding to the i+n-th fuzzification processing are read from the memory stick for mixed processing to obtain a mixed fuzzy interface. In this way, the power consumption of the fuzzy path using different fuzzy radii to fuzzy process the target interface can be reduced, thereby ensuring the performance of the system.

[0062] S402, taking the initial fuzzy interfaces obtained by each fuzzification process and the mixed fuzzy interfaces obtained by each mixing process as a plurality of target fuzzy interfaces.

[0063] In this embodiment, the initial fuzzy interface obtained by each fuzzification processing and the mixed fuzzy interface obtained by each mixing processing can be sorted according to the degree of fuzziness of the initial fuzzy interface obtained by each fuzzification processing and the degree of fuzziness of the mixed fuzzy interface obtained by each mixing processing to obtain multiple target fuzzy interfaces.

[0064] In this embodiment, by performing mixed processing on the initial fuzzy interface corresponding to the i-th fuzzification processing and the initial fuzzy interface corresponding to the i+n-th fuzzification processing, the obtained fuzzy interface can be enriched, and the process of performing mixed processing on the initial fuzzy interface corresponding to the i-th fuzzification processing and the initial fuzzy interface corresponding to the i+n-th fuzzification processing is relatively simple, the amount of calculation required to be processed is also relatively small, and it will not bring excessive power consumption to the system. Furthermore, the initial fuzzy interface obtained by each fuzzification processing and the mixed fuzzy interface obtained by each mixing processing are used as multiple target fuzzy interfaces, which can reduce the amount of calculation of the system, ensure the performance of the system, and ensure that the obtained multiple target fuzzy interfaces include target fuzzy interfaces with different degrees of fuzziness.

[0065] In this embodiment, the fuzzy interface corresponding to the i-th fuzzification process and the fuzzy interface corresponding to the i+n-th fuzzification process are mixed to obtain the detailed process of obtaining the mixed fuzzy interface. In one embodiment, the above S401 includes:

[0066] Step B: Based on at least one mixing coefficient, the fuzzy interface corresponding to the i-th fuzzification process and the fuzzy interface corresponding to the i+n-th fuzzification process are mixed at least once to obtain at least one mixed fuzzy interface.

[0067] Optionally, in this embodiment, when the fuzzy interface corresponding to the i-th fuzzification processing and the fuzzy interface corresponding to the i+n-th fuzzification processing are mixed, the fuzzy interface corresponding to the i-th fuzzification processing and the fuzzy interface corresponding to the i+n-th fuzzification processing can be mixed based on the mixing coefficient.

[0068] Further, as an optional implementation, when the fuzzy interface corresponding to the i-th fuzzification processing and the fuzzy interface corresponding to the i+n-th fuzzification processing are mixed, the frame number of the mixed fuzzy interface generated between the two fuzzification processing nodes can vary with the blur effect requirements and can be not fixed. Therefore, the fuzzy interface corresponding to the i-th fuzzification processing and the fuzzy interface corresponding to the i+n-th fuzzification processing are mixed, and the mixing process may be performed once or multiple different mixing processes may be performed to obtain multiple different mixed fuzzy interfaces. That is to say, in this embodiment, when performing the mixing process, the fuzzy interface corresponding to the i-th fuzzification processing and the fuzzy interface corresponding to the i+n-th fuzzification processing can be mixed based on a mixing coefficient to obtain a mixed fuzzy interface; or the fuzzy interface corresponding to the i-th fuzzification processing and the fuzzy interface corresponding to the i+n-th fuzzification processing can be mixed based on multiple different mixing coefficients to obtain multiple different mixed fuzzy interfaces.

[0069] In this embodiment, as an optional implementation, it is possible to determine in advance how many times the mixing process is required based on the blur effect of the fuzzy interface corresponding to the i-th fuzzification process and the blur effect of the fuzzy interface corresponding to the i+n-th fuzzification process, and then obtain at least one mixing coefficient based on the blur effect of the fuzzy interface corresponding to the i-th fuzzification process and the blur effect of the fuzzy interface corresponding to the i+n-th fuzzification process. The fuzzy interface corresponding to the i-th fuzzification process and the fuzzy interface corresponding to the i+n-th fuzzification process are mixed at least once using the at least one obtained mixing coefficient to obtain at least one mixed interface.

[0070] In this embodiment, based on at least one mixing coefficient, the fuzzy interface corresponding to the i-th fuzzification processing and the fuzzy interface corresponding to the i+n-th fuzzification processing are mixed at least once to obtain at least one mixed fuzzy interface. The process is relatively simple and the amount of calculation is relatively small, which can reduce the computing resources required by the system. At the same time, based on at least one mixing coefficient, the fuzzy interface corresponding to the i-th fuzzification processing and the fuzzy interface corresponding to the i+n-th fuzzification processing are mixed at least once to obtain at least one mixed fuzzy interface. This can approximately simulate the blur effect of blurring the target interface with different blur radii, thereby reducing the resource consumption of the system while ensuring the blur effect of the mixed fuzzy interface of the target interface, thereby ensuring the performance of the system.

[0071] To facilitate understanding by those skilled in the art, the interface blurring method provided by the present disclosure is described in detail below. The method may include:

[0072] S1, after receiving an instruction to display a target interface, perform multiple fuzzification processes on the target interface, and obtain multiple initial fuzzy interfaces based on the multiple fuzzification processes; wherein, the i-th fuzzification process includes: obtaining multiple sub-sampling ratios; gradually down-sampling the target interface according to the multiple sub-sampling ratios to obtain a down-sampled interface, determining a target fuzzy radius based on an order i of the fuzzification process, fuzzifying the down-sampled interface based on the target fuzzy radius to obtain a candidate interface, and gradually up-sampling the candidate interface according to the multiple sub-sampling ratios to obtain an initial fuzzy interface corresponding to the i-th fuzzification process; wherein the target fuzzy radius is positively correlated or negatively correlated with the order i of the fuzzification process; the target fuzzy radius is obtained according to the overall sampling ratio of the down-sampling process and the original fuzzy radius of the i-th fuzzification process, wherein the difference between the fuzzy effect of fuzzifying the target interface based on the original fuzzy radius and the fuzzy effect of fuzzifying the down-sampled interface based on the target fuzzy radius is less than a preset effect difference threshold.

[0073] S2. Based on the blurring effects of the blurred interfaces corresponding to the i-th blurring process and the (i + n)-th blurring process, obtain at least one mixing coefficient.

[0074] S3. Based on at least one mixing coefficient, perform at least one mixing process on the blurred interface corresponding to the i-th blurring process and the blurred interface corresponding to the (i + n)-th blurring process to obtain at least one mixed blurred interface; where n is a positive integer greater than or equal to 1.

[0075] S4. Use the initial blurred interfaces obtained from each blurring process and the mixed blurred interfaces obtained from each mixing process as multiple target blurred interfaces; the blurring degrees of the multiple target blurred interfaces are different.

[0076] S5. Display the multiple target blurred interfaces in sequence according to the magnitudes of their blurring degrees.

[0077] It should be noted that for the descriptions in the above steps, reference can be made to the relevant descriptions in the above embodiments, and their effects are similar, so they will not be elaborated herein.

[0078] FIG. 5 is a schematic diagram showing a process comparison between the interface blurring method provided in an embodiment of the present application and the interface blurring method in the conventional technology. As shown in FIG. 5, assuming that the blurring duration = T, the maximum blurring radius = R, and the dynamic blurring animation requires N frames, in the conventional technology, it is necessary to step by R / (N - 1) within the blurring radius from 1 to R to generate N frames of blurring results, and display them at uniform intervals within the duration T. However, for the interface blurring method provided in the embodiment of the present application, X frames of blurring nodes (X < N) are generated in sequence through different combinations of upsampling and downsampling ratios and reduced Gaussian radii, and their blurring degrees correspond to some intermediate frames in the original Gaussian blurring process. By performing mixing processes with different coefficients on the blurring nodes, the blurring gradual change effect between the nodes is simulated. The number of frames generated between every two blurring nodes varies according to the blurring effect requirements and may not be fixed, and a total of N - X frames are generated. The blurring nodes and the frames generated by the mixing process are displayed at uniform intervals within the duration T according to the blurring gradual change degree. The interface blurring method provided in the embodiment of the present application can improve system fluency and reduce system power consumption while maintaining the blurring effect.

[0079] It should be understood that, although the steps in the flowcharts involved in the above embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0080] Based on the same inventive concept, the embodiment of the present application also provides an interface blur device for implementing the interface blur method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more interface blur device embodiments provided below can refer to the limitations of the interface blur method above, and will not be repeated here.

[0081] In one embodiment, as shown in FIG6 , an interface blurring device is provided, comprising: a blurring module 10, a first acquisition module 11 and a display module 12, wherein:

[0082] The fuzzy module 10 is used to perform multiple fuzzy processing on the target interface after receiving an instruction to display the target interface, and obtain multiple initial fuzzy interfaces based on the multiple fuzzy processing; wherein the i-th fuzzy processing includes: downsampling the target interface to obtain a downsampled interface, fuzzying the downsampled interface based on the target fuzzy radius to obtain a candidate interface, and upsampling the candidate interface to obtain an initial fuzzy interface corresponding to the i-th fuzzy processing.

[0083] The first acquisition module 11 is used to acquire multiple target fuzzy interfaces according to the multiple initial fuzzy interfaces; the fuzziness degrees of the multiple target fuzzy interfaces are different.

[0084] The display module 12 is used to display a plurality of target blur interfaces in sequence according to the blur degree.

[0085] The interface blurring device provided in this embodiment can execute the above method embodiment, and its implementation principle and technical effect are similar, which will not be repeated here.

[0086] Based on the above embodiment, as shown in FIG7 , optionally, the above device further includes: a determination module 13, wherein:

[0087] A determination module 13, configured to determine a target blur radius based on the order i of the blurring process;

[0088] Among them, the target blur radius is positively or negatively correlated with the order i.

[0089] Optionally, the target blur radius is obtained based on the overall sampling ratio of the downsampling process and the original blur radius of the i-th blurring process, wherein the difference between the blur effect of blurring the target interface based on the original blur radius and the blur effect of blurring the downsampling interface based on the target blur radius is less than a preset effect difference threshold.

[0090] The interface blurring device provided in this embodiment can execute the above method embodiment, and its implementation principle and technical effect are similar, which will not be repeated here.

[0091] On the basis of the above embodiment, as shown in FIG8 , optionally, the above fuzzy module 10 includes: a first acquisition unit 101 and a first processing unit 102, wherein:

[0092] The first acquisition unit 101 is used to acquire multiple subsampling ratios.

[0093] The first processing unit 102 is used to gradually downsample the target interface according to a plurality of subsampling ratios to obtain a downsampled interface.

[0094] The interface blurring device provided in this embodiment can execute the above method embodiment, and its implementation principle and technical effect are similar, which will not be repeated here.

[0095] Based on the above embodiment, as shown in FIG9 , optionally, the above fuzzy module 10 further includes: a second processing unit 103, wherein:

[0096] The second processing unit 103 is used to gradually upsample the candidate interfaces according to a plurality of subsampling ratios to obtain an initial fuzzy interface corresponding to the i-th fuzzification process.

[0097] The interface blurring device provided in this embodiment can execute the above method embodiment, and its implementation principle and technical effect are similar, which will not be repeated here.

[0098] On the basis of the above embodiment, as shown in FIG10 , optionally, the above first acquisition module 11 includes: a second acquisition unit 111 and a third acquisition unit 112, wherein:

[0099] The second acquisition unit 111 is used to mix the initial fuzzy interface corresponding to the i-th fuzzification process and the initial fuzzy interface corresponding to the i+n-th fuzzification process to obtain a mixed fuzzy interface; wherein n is a positive integer greater than or equal to 1.

[0100] The third acquisition unit 112 is used to use the initial fuzzy interfaces obtained by each fuzzification process and the mixed fuzzy interfaces obtained by each mixing process as a plurality of target fuzzy interfaces.

[0101] The interface blurring device provided in this embodiment can execute the above method embodiment, and its implementation principle and technical effect are similar, which will not be repeated here.

[0102] Based on the above embodiment, please continue to refer to Figure 10. Optionally, the above-mentioned second acquisition unit 111 is specifically used to perform at least one mixing process on the fuzzy interface corresponding to the i-th fuzzification processing and the fuzzy interface corresponding to the i+n-th fuzzification processing based on at least one mixing coefficient to obtain at least one mixed fuzzy interface.

[0103] The interface blurring device provided in this embodiment can execute the above method embodiment, and its implementation principle and technical effect are similar, which will not be repeated here.

[0104] On the basis of the above embodiment, as shown in FIG11 , optionally, the above device further includes: a second acquisition module 14, wherein:

[0105] The second acquisition module 14 is used to acquire at least one mixing coefficient based on the blur effect of the blur interface corresponding to the i-th blurring process and the blur effect of the blur interface corresponding to the i+n-th blurring process.

[0106] The interface blurring device provided in this embodiment can execute the above method embodiment, and its implementation principle and technical effect are similar, which will not be repeated here.

[0107] Each module in the above interface blurring device can be implemented in whole or in part by software, hardware or a combination thereof. Each module can be embedded in or independent of a display unit in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each module.

[0108] In one embodiment, an electronic device is provided, which may be a terminal, and its internal structure diagram may be shown in FIG12. The electronic device includes a processor, a memory, an input / output interface, a communication interface, a display unit, and an input device. The processor, the memory, and the input / output interface are connected via a system bus, and the communication interface, the display unit, and the input device are connected to the system bus via the input / output interface. The processor of the electronic device is used to provide computing and control capabilities. The memory of the electronic device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the electronic device is used to exchange information between the processor and an external device. The communication interface of the electronic device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner may be implemented through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, an interface method is implemented. The display unit of the electronic device is used to form a visually visible picture, which may be a display screen, a projection device, or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.

[0109] Those skilled in the art will understand that the structure shown in FIG. 12 is merely a block diagram of a partial structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

[0110] In one embodiment, an electronic device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0111] After receiving the instruction to display the target interface, the target interface is fuzzified multiple times, and multiple initial fuzzy interfaces are obtained based on the multiple fuzzy processes; wherein the i-th fuzzy process includes: downsampling the target interface to obtain a downsampled interface, fuzzifying the downsampled interface based on the target fuzzy radius to obtain a candidate interface, and upsampling the candidate interface to obtain an initial fuzzy interface corresponding to the i-th fuzzy process;

[0112] According to the multiple initial fuzzy interfaces, multiple target fuzzy interfaces are obtained; the fuzziness degrees of the multiple target fuzzy interfaces are different;

[0113] Multiple target blur interfaces are displayed in sequence according to the blur degree.

[0114] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0115] Determine the target blur radius based on the order i of the blurring process;

[0116] Among them, the target blur radius is positively or negatively correlated with the order i.

[0117] Optionally, the target blur radius is obtained based on the overall sampling ratio of the downsampling process and the original blur radius of the i-th blurring process, wherein the difference between the blur effect of blurring the target interface based on the original blur radius and the blur effect of blurring the downsampling interface based on the target blur radius is less than a preset effect difference threshold.

[0118] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0119] Get multiple subsampling ratios;

[0120] The target interface is gradually downsampled according to multiple subsampling ratios to obtain a downsampled interface.

[0121] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0122] The candidate interfaces are gradually upsampled according to multiple subsampling ratios to obtain an initial fuzzy interface corresponding to the i-th fuzzification process.

[0123] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0124] The initial fuzzy interface corresponding to the i-th fuzzification process and the initial fuzzy interface corresponding to the i+n-th fuzzification process are mixed to obtain a mixed fuzzy interface; wherein n is a positive integer greater than or equal to 1;

[0125] The initial fuzzy interfaces obtained from each fuzzification process and the mixed fuzzy interfaces obtained from each mixing process are used as multiple target fuzzy interfaces.

[0126] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0127] Based on at least one mixing coefficient, a fuzzy interface corresponding to the i-th fuzzification process and a fuzzy interface corresponding to the i+n-th fuzzification process are mixed at least once to obtain at least one mixed fuzzy interface.

[0128] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0129] At least one mixing coefficient is obtained based on the blur effect of the blur interface corresponding to the i-th blurring process and the blur effect of the blur interface corresponding to the i+n-th blurring process.

[0130] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0131] After receiving the instruction to display the target interface, the target interface is fuzzified multiple times, and multiple initial fuzzy interfaces are obtained based on the multiple fuzzy processes; wherein the i-th fuzzy process includes: downsampling the target interface to obtain a downsampled interface, fuzzifying the downsampled interface based on the target fuzzy radius to obtain a candidate interface, and upsampling the candidate interface to obtain an initial fuzzy interface corresponding to the i-th fuzzy process;

[0132] According to the multiple initial fuzzy interfaces, multiple target fuzzy interfaces are obtained; the fuzziness degrees of the multiple target fuzzy interfaces are different;

[0133] Multiple target blur interfaces are displayed in sequence according to the blur degree.

[0134] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0135] Determine the target blur radius based on the order i of the blurring process;

[0136] Among them, the target blur radius is positively or negatively correlated with the order i.

[0137] Optionally, the target blur radius is obtained based on the overall sampling ratio of the downsampling process and the original blur radius of the i-th blurring process, wherein the difference between the blur effect of blurring the target interface based on the original blur radius and the blur effect of blurring the downsampling interface based on the target blur radius is less than a preset effect difference threshold.

[0138] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0139] Get multiple subsampling ratios;

[0140] The target interface is gradually downsampled according to multiple subsampling ratios to obtain a downsampled interface.

[0141] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0142] The candidate interfaces are gradually upsampled according to multiple subsampling ratios to obtain an initial fuzzy interface corresponding to the i-th fuzzification process.

[0143] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0144] The initial fuzzy interface corresponding to the i-th fuzzification process and the initial fuzzy interface corresponding to the i+n-th fuzzification process are mixed to obtain a mixed fuzzy interface; wherein n is a positive integer greater than or equal to 1;

[0145] The initial fuzzy interfaces obtained from each fuzzification process and the mixed fuzzy interfaces obtained from each mixing process are used as multiple target fuzzy interfaces.

[0146] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0147] Based on at least one mixing coefficient, a fuzzy interface corresponding to the i-th fuzzification process and a fuzzy interface corresponding to the i+n-th fuzzification process are mixed at least once to obtain at least one mixed fuzzy interface.

[0148] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0149] At least one mixing coefficient is obtained based on the blur effect of the blur interface corresponding to the i-th blurring process and the blur effect of the blur interface corresponding to the i+n-th blurring process.

[0150] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the following steps:

[0151] After receiving the instruction to display the target interface, the target interface is fuzzified multiple times, and multiple initial fuzzy interfaces are obtained based on the multiple fuzzy processes; wherein the i-th fuzzy process includes: downsampling the target interface to obtain a downsampled interface, fuzzifying the downsampled interface based on the target fuzzy radius to obtain a candidate interface, and upsampling the candidate interface to obtain an initial fuzzy interface corresponding to the i-th fuzzy process;

[0152] According to the multiple initial fuzzy interfaces, multiple target fuzzy interfaces are obtained; the fuzziness degrees of the multiple target fuzzy interfaces are different;

[0153] Multiple target blur interfaces are displayed in sequence according to the blur degree.

[0154] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0155] Determine the target blur radius based on the order i of the blurring process;

[0156] Among them, the target blur radius is positively or negatively correlated with the order i.

[0157] Optionally, the target blur radius is obtained based on the overall sampling ratio of the downsampling process and the original blur radius of the i-th blurring process, wherein the difference between the blur effect of blurring the target interface based on the original blur radius and the blur effect of blurring the downsampling interface based on the target blur radius is less than a preset effect difference threshold.

[0158] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0159] Get multiple subsampling ratios;

[0160] The target interface is gradually downsampled according to multiple subsampling ratios to obtain a downsampled interface.

[0161] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0162] The candidate interfaces are gradually upsampled according to multiple subsampling ratios to obtain an initial fuzzy interface corresponding to the i-th fuzzification process.

[0163] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0164] The initial fuzzy interface corresponding to the i-th fuzzification process and the initial fuzzy interface corresponding to the i+n-th fuzzification process are mixed to obtain a mixed fuzzy interface; wherein n is a positive integer greater than or equal to 1;

[0165] The initial fuzzy interface obtained by each fuzzification process and the mixed fuzzy interface obtained by each mixing process are used as multiple target fuzzy interfaces.

[0166] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0167] Based on at least one mixing coefficient, a fuzzy interface corresponding to the i-th fuzzification process and a fuzzy interface corresponding to the i+n-th fuzzification process are mixed at least once to obtain at least one mixed fuzzy interface.

[0168] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0169] At least one mixing coefficient is obtained based on the blur effect of the blur interface corresponding to the i-th blurring process and the blur effect of the blur interface corresponding to the i+n-th blurring process.

[0170] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0171] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0172] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. An interface blurring method, characterized in that: include: After receiving an instruction to display a target interface, the target interface is subjected to multiple fuzzification processes, and multiple initial fuzzy interfaces are obtained based on the multiple fuzzification processes; wherein the i-th fuzzification process includes: downsampling the target interface to obtain a downsampled interface, fuzzifying the downsampled interface based on a target fuzzy radius to obtain a candidate interface, and upsampling the candidate interface to obtain an initial fuzzy interface corresponding to the i-th fuzzification process; Acquire multiple target fuzzy interfaces according to the multiple initial fuzzy interfaces; the fuzziness levels of the multiple target fuzzy interfaces are different; The multiple target blur interfaces are displayed in sequence according to the blur levels.

2. The method according to claim 1, characterized in that Before blurring the down-sampling interface based on the target blur radius, the method further includes: Determining the target blur radius based on the order i of the blurring process; The target blur radius is positively correlated or negatively correlated with the order i.

3. The method according to claim 2, characterized in that The target blur radius is obtained based on the overall sampling ratio of the downsampling process and the original blur radius of the i-th blurring process, wherein the difference between the blur effect of blurring the target interface based on the original blur radius and the blur effect of blurring the downsampling interface based on the target blur radius is less than a preset effect difference threshold.

4. The method according to claim 1, characterized in that: The downsampling process is performed on the target interface to obtain the downsampling interface, including: Get multiple subsampling ratios; The target interface is gradually downsampled according to the multiple subsampling ratios to obtain the downsampled interface.

5. The method according to claim 4, characterized in that The upsampling process is performed on the candidate interface to obtain an initial fuzzy interface corresponding to the ith fuzzification process, including: The candidate interfaces are gradually upsampled according to the multiple subsampling ratios to obtain an initial fuzzy interface corresponding to the i-th fuzzification process.

6. The method according to claim 1, characterized in that The step of acquiring a plurality of target fuzzy interfaces according to the plurality of initial fuzzy interfaces comprises: The initial fuzzy interface corresponding to the i-th fuzzification process and the initial fuzzy interface corresponding to the i+n-th fuzzification process are mixed to obtain a mixed fuzzy interface; wherein n is a positive integer greater than or equal to 1; The initial fuzzy interface obtained by each fuzzification process and the mixed fuzzy interface obtained by each mixing process are used as the multiple target fuzzy interfaces.

7. The method according to claim 6, characterized in that The fuzzy interface corresponding to the i-th fuzzification process and the fuzzy interface corresponding to the i+n-th fuzzification process are mixed to obtain a fuzzy interface after the mixed processing, including: Based on at least one mixing coefficient, a fuzzy interface corresponding to the i-th fuzzification process and a fuzzy interface corresponding to the i+n-th fuzzification process are mixed at least once to obtain at least one mixed fuzzy interface.

8. The method according to claim 7, characterized in that Before performing at least one mixing process based on at least one mixing coefficient, the method further comprises: The at least one mixing coefficient is obtained based on the blur effect of the blur interface corresponding to the i-th blurring process and the blur effect of the blur interface corresponding to the i+n-th blurring process.

9. An interface blurring device, characterized in that: include: A fuzzy module, configured to perform multiple fuzzy processes on the target interface after receiving an instruction to display the target interface, and obtain multiple initial fuzzy interfaces based on the multiple fuzzy processes; wherein the i-th fuzzy process comprises: performing downsampling process on the target interface to obtain a downsampled interface, performing fuzzy process on the downsampled interface based on a target fuzzy radius to obtain a candidate interface, and performing upsampling process on the candidate interface to obtain an initial fuzzy interface corresponding to the i-th fuzzy process; A first acquisition module is used to acquire a plurality of target fuzzy interfaces according to the plurality of initial fuzzy interfaces; the fuzziness degrees of the plurality of target fuzzy interfaces are different; The display module is used to display the multiple target blur interfaces in sequence according to the blur degree.

10. An electronic device comprising a memory and a processor, wherein a computer program is stored in the memory, wherein: When the computer program is executed by the processor, the processor is caused to perform the steps of the interface blurring method according to any one of claims 1 to 8.

11. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 8 are implemented.

12. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 8 are implemented.